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Biosocial Surveys (2007)
Committee on Population (CPOP)

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. "3 The Taiwan Biomarker Project--Ming-Cheng Chang, Dana A. Glei, Noreen Goldman, and Maxine Weinstein." Biosocial Surveys. Washington, DC: The National Academies Press, 2007.

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Biosocial Surveys

and health-related behaviors; (4) occupational and employment histories; (5) activities and attitudes; (6) residential history; (7) economic and financial well-being; and (8) emotional and instrumental support (Weinstein and Willis, 2001). Since 1989, follow-up interviews have been conducted in 1993, 1996, 1999, and 2003. In both 1996 and 2003, the study drew a refresher sample to provide a sample of persons age 50 and older.

The initial impetus for the biomarker arm of the Taiwan study of the elderly grew out of a seminar on the cumulative effects of stress on health that was presented by Burton Singer at the Office of Population Research at Princeton University in 1995. The focus of his presentation was the MacArthur Study of Successful Aging—a study of predominantly high-functioning individuals drawn from community-based cohorts that were part of the Established Populations for Epidemiological Studies of the Elderly. The longitudinal study of the elderly in Taiwan seemed to offer an opportunity to do a population-representative study—albeit of persons middle-aged and older—that incorporated biomarkers. The study had been going on for some years, there was a strong base of sociodemographic data, the institute in Taiwan had a competent staff and substantial experience fielding surveys, we had a long and productive history of cooperative work with each other, and we knew that the study sample was cooperative and responsive.

We have already presented a (simplified) diagram of our basic theoretical model in the predecessor to this volume, Cells and Surveys: Should Biological Measures Be Included in Social Science Research? (Weinstein and Willis, 2001, p. 259). Underlying the study was our interest in exploring the (often) reciprocal relationships linking the social environment with stressful experience and with health outcomes, and in elaborating the physiological responses that lie between those links and between stressful experience and health outcomes. There are huge—and growing—literatures linking the social environment with exposure to challenge, linking the social environment with health outcomes, and some linking exposure to challenge with health outcomes. What we hoped to add to the discussion (primarily) were better data on the physiological pathways that lie between the environment and health outcomes and the physiological effects of exposure to challenge. Our original approach to incorporating physiological dysregulation was based on the concept of allostatic load. The idea behind allostatic load is that stressful experience causes a chain of physiological changes that interrupt normal processes; repeated or prolonged exposure to such stressors can result in physiological dysregulation (McEwen, 2002; McEwen and Stellar, 1993). Proponents of the framework would argue that allostatic load can be viewed as an index of the relative degree of failure at a physiological level—a marker of the cumulative physiological costs of efforts to cope with life’s challenges.

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Front Matter (R1-R14)
Introduction--James W. Vaupel, Kenneth W. Wachter, and Maxine Weinstein (1-12)
Part I: What We've Learned So Far (13-14)
1 Biological Indicators and Genetic Information in Danish Twin and Oldest-Old Surveys--Kaare Christensen, Lise Bathum, and Lene Christiansen (15-41)
2 Whitehall II and ELSA: Integrating Epidemiological and Psychobiological Approaches to the Assessment of Biological Indicators--Michael Marmot and Andrew Steptoe (42-59)
3 The Taiwan Biomarker Project--Ming-Cheng Chang, Dana A. Glei, Noreen Goldman, and Maxine Weinstein (60-77)
4 Elastic Powers: The Integration of Biomarkers into the Health and Retirement Study--David Weir (78-95)
5 An Overview of Biomarker Research from Community and Population-Based Studies on Aging--Jennifer R. Harris, Tara L. Gruenewald, and Teresa Seeman (96-135)
6 The Women's Health Initiative: Lessons for the Population Study of Biomarkers--Robert B. Wallace (136-148)
7 Comments on Collecting and Utilizing Biological Indicators in Social Science Surveys--Duncan Thomas and Elizabeth Frankenberg (149-155)
8 Biomarkers in Social Science Research on Health and Aging: A Review of Theory and Practice--Douglas C. Ewbank (156-172)
Part II: The Potential and Pitfalls of Genetic Information (173-174)
9 Are Genes Good Markers of Biological Traits?--Mary Jane West-Eberhard (175-193)
10 Genetic Markers in Social Science Research: Opportunities and Pitfalls--George P. Vogler and Gerald E. McClearn (194-207)
11 Comments on the Utility of Social Science Surveys for the Discovery and Validation of Genes Influencing Complex Traits--Harald H.H. Göring (208-230)
12 Overview Thoughts on Genetics: Walking the Line Between Denial and Dreamland, or Genes Are Involved in Everything, But Not Everything Is "Genetic"--Kenneth M. Weiss (231-248)
Part III: New Ways of Collecting, Applying, and Thinking About Data (249-250)
13 Minimally Invasive and Innovative Methods for Biomeasure Collection in Population-Based Research--Stacy Tessler Lindau and Thomas W. McDade (251-277)
14 Nutrigenomics--John Milner, Elaine B. Trujillo, Christine M. Kaefer, and Sharon Ross (278-303)
15 Genoeconomics--Daniel J. Benjamin, Christopher F. Chabris, Edward L. Glaeser, Vilmundur Gudnason, Tamara B. Harris, David I. Laibson, Lenore J. Launer, and Shaun Purcell (304-335)
16 Mendelian Randomization: Genetic Variants as Instruments for Strengthening Causal Inference in Observational Studies--George Davey Smith and Shah Ebrahim (336-366)
17 Multilevel Investigations: Conceptual Mappings and Perspectives--John T. Cacioppo, Gary G. Berntson, and Ronald A. Thisted (367-380)
18 Genomics and Beyond: Improving Understanding and Analysis of Human (Social, Economic, and Demographic) Behavior--John Hobcraft (381-400)
Appendix: Biographical Sketches of Contributors (401-414)